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广东极端降水的三参数概率分布模式对比
引用本文:陈子燊,路剑飞,刘曾美.广东极端降水的三参数概率分布模式对比[J].中山大学学报(自然科学版),2012,51(1):102-106.
作者姓名:陈子燊  路剑飞  刘曾美
作者单位:中山大学水资源与环境系;华南理工大学水利水电工程系
基金项目:广东水利创新资助项目(2011370004209292)
摘    要: 采用包括广义极值分布、威布尔分布、广义逻辑斯特分布和皮尔逊3型分布在内的4种三参数概率分布模式推算广东省85个气象站历年日最大降水不同重现水平的分位数。主要结果如下:1)参数估计结果表明不存在普遍适用的极端降水概率分布模式;2)广东极端降水以珠江三角洲和沿海较为突出。其中,清远、汕尾、阳江为广东三大极端降水中心区;3)采用4种概率分布模式推算的极端降水重现水平差别很大。东

关 键 词:三参数概率分布模式  极端降水  拟合优度检验  重现水平  广
收稿时间:2011-07-05;

Comparative Analysis on Three-parameter Probability Distribution Models for Extreme Precipitation in Guangdong Province
CHEN Zishen,LU Jianfei,LIU Zengmei.Comparative Analysis on Three-parameter Probability Distribution Models for Extreme Precipitation in Guangdong Province[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2012,51(1):102-106.
Authors:CHEN Zishen  LU Jianfei  LIU Zengmei
Institution:1.Department of Water Resource and Environment,Sun Yat-sen University,Guangzhou 510275,China; 2.Department of Water Conservancy and Hydropower Engineering, South China University of Technology,Guangzhou 510640,China)
Abstract:Four probability distribution models,generalized extreme value distribution,Weibull distribution,log-logistic distribution and Pearson type-III distribution,were used to calculate the different return levels of maximum daily precipitation for 85 stations in Guangdong province.The main results are as follows: 1) The results of parameter estimation indicate that there is no universally applicable extreme precipitation probability distribution model;2) The extreme precipitation occurs more frequently in the Pearl River Delta and the coastal areas of Guangdong among which Qingyuan,Shanwei and Yangjiang are three extreme precipitation centers;3) The return levels of extreme precipitation differ greatly between the calculations of four probability distribution models.
Keywords:three-parameter probability distribution models  extreme precipitation  goodness-of-fit test  return levels  Guangdong
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